ISEA: iterative seed-extension algorithm for de novo assembly using paired-end information and insert size distribution

 

Min Li, Zhongxiang Liao, Yiming He, Jianxin Wang*,Junwei Luo, and Yi Pan

School of Information Science and Engineering, Central South University, China

 

ISEA is an de novo assembly tool based using paired-end information and insert size distribution.

 

Software download:  ISEA

 

DataSet

The Staphylococcus aureus dataset used in ISEA's manuscript can be downloaded from Staphylococcus aureus.

 

 

 

Collaboration
If you want to modify the source code and would like the modification to be included in a subsequent release, we would love to hear from you. Please send me an e-mail (limin@mail.csu.edu.cn).
If you have questions about ISEA software, please send me an e-mail.

 

ISEA Publication
Please see the following paper for more information about the algorithm:

Min Li, Zhongxiang Liao, Yiming He, Jianxin Wang*,Junwei Luo, and Yi Pan.
ISEA: iterative seed-extension algorithm for de novo assembly using paired-end information and insert size distribution.
xxx 2016, x:xx doi:xxx.xxx/xxx-xxx-x-xx.